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Automated ICD-O-3 Coding of Real-World Pathology Reports Using Self-Hosted Large Language Models

2025-07-23

Abstract excerpt

While large language models (LLMs) have shown promise in medical text processing, their real-world application in self-hosted clinical settings remains underexplored. Here, we evaluated five state-of-the-art self-hosted LLMs for automated assignment of International Classification of Diseases for Oncology (ICD-O-3) codes using 21,364 real-world pathology reports from a large German hospital. For exact topography c...

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Identifiers and source

Literature Corpus work
740e3f7d-92d6-59cd-b835-fe90d99e9b3d
DOI
10.1101/2025.07.23.25332040
Open publication

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Automated ICD-O-3 Coding of Real-World Pathology Reports Using Self-Hosted Large Language ModelsDOI 10.1101/2025.07.23.25332040
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